ReSource Pro Report Highlights Cultural and Governance Gaps in Insurance AI Adoption
Event summary
- ReSource Pro published its 2026 AI Lessons Learned Report on July 23, 2026.
- The report is based on interviews with 40+ insurance executives across the U.S. P&C ecosystem.
- Key findings emphasize that successful AI adoption depends more on culture and governance than technology.
- Poor data quality and lack of executive buy-in are identified as major barriers to AI success.
The big picture
The report challenges the industry's technology-first approach to AI, highlighting that successful implementation requires operational transformation across people, processes, and behavior. This shift in perspective is critical as insurers navigate regulatory scrutiny and the accelerating pace of AI-driven workflows. The findings underscore the need for foundational investments in data management and governance to unlock greater returns from AI in the coming years.
What we're watching
- Governance Dynamics
- The pace at which insurance firms establish formal AI governance frameworks will determine their long-term competitiveness.
- Data Quality
- How quickly insurers can clean and standardize legacy data will dictate the effectiveness of their AI investments.
- Executive Commitment
- Whether insurance leaders sustain role-specific education around AI use cases will shape organizational adoption rates.
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